Exploiting Global Grid Structure to Support MobileSinks in Large Scale Wireless Sensor Networks
碩士 === 國立中正大學 === 通訊工程研究所 === 94 === We propose a novel data dissemination scheme in large-scale sensor network in which a global grid structure is exploited to support good mobility for multiple sink nodes and multiple source nodes. Our method reduces energy consumption by avoiding query flooding....
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ndltd-TW-094CCU056500182015-10-13T10:45:18Z http://ndltd.ncl.edu.tw/handle/09165079244876872223 Exploiting Global Grid Structure to Support MobileSinks in Large Scale Wireless Sensor Networks 在無線感測網路中利用格網架構支援可移動的資料彙集點的資料傳送機制 Kuo-Hua Kao 高國華 碩士 國立中正大學 通訊工程研究所 94 We propose a novel data dissemination scheme in large-scale sensor network in which a global grid structure is exploited to support good mobility for multiple sink nodes and multiple source nodes. Our method reduces energy consumption by avoiding query flooding. In addition, a sink node can easily collect the data through the information of source nodes stored in the emph{forwarding fields} which is a rectangular region in the central area of each grid. Our method also achieves energy efficiency during query forwarding stage and data delivering stage. Overhead analysis shows that our method consumes less energy compared to recent proposed methods such as two-tier data dissemination (TTDD) [3] and Railroad [6]. Our results also show that forwarding fields have resolved the energy consumption problem of query forwarding from sinks and data delivering from sources with the remarkable performance. Finally, we implement our method in J-sim [11]. Based on the simulation results we show that the selection of an appropriate forwarding field size may reduce the energy consumption dramatically. Overhead analysis and simulations are used to validate our analysis for the performance of the proposed method. SingLing Lee 李新林 2006 學位論文 ; thesis 40 en_US |
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碩士 === 國立中正大學 === 通訊工程研究所 === 94 === We propose a novel data dissemination scheme in large-scale sensor
network in which a global grid structure is exploited to support
good mobility for multiple sink nodes and multiple source nodes.
Our method reduces energy consumption by avoiding query
flooding. In addition, a sink node can easily collect the data
through the information of source nodes stored in the
emph{forwarding fields} which is a rectangular region in the
central area of each grid. Our method also achieves energy efficiency
during query forwarding stage and data delivering stage.
Overhead analysis shows that our method consumes less energy compared
to recent proposed methods such as two-tier data dissemination (TTDD) [3] and
Railroad [6]. Our results also show that forwarding fields have
resolved the energy consumption problem of query forwarding from
sinks and data delivering from sources with the remarkable
performance. Finally, we implement our method in J-sim [11]. Based
on the simulation results we show that the selection of an appropriate forwarding
field size may reduce the energy consumption dramatically. Overhead analysis and simulations are used to validate
our analysis for the performance of the proposed method.
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author2 |
SingLing Lee |
author_facet |
SingLing Lee Kuo-Hua Kao 高國華 |
author |
Kuo-Hua Kao 高國華 |
spellingShingle |
Kuo-Hua Kao 高國華 Exploiting Global Grid Structure to Support MobileSinks in Large Scale Wireless Sensor Networks |
author_sort |
Kuo-Hua Kao |
title |
Exploiting Global Grid Structure to Support MobileSinks in Large Scale Wireless Sensor Networks |
title_short |
Exploiting Global Grid Structure to Support MobileSinks in Large Scale Wireless Sensor Networks |
title_full |
Exploiting Global Grid Structure to Support MobileSinks in Large Scale Wireless Sensor Networks |
title_fullStr |
Exploiting Global Grid Structure to Support MobileSinks in Large Scale Wireless Sensor Networks |
title_full_unstemmed |
Exploiting Global Grid Structure to Support MobileSinks in Large Scale Wireless Sensor Networks |
title_sort |
exploiting global grid structure to support mobilesinks in large scale wireless sensor networks |
publishDate |
2006 |
url |
http://ndltd.ncl.edu.tw/handle/09165079244876872223 |
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